Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add gethouston/houston --skill investigar-mi-seogit clone --depth 1 https://github.com/gethouston/houstonWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/gethouston/houston/investigar-mi-seo)<a href="https://agentmods.dev/skills/gethouston/houston/investigar-mi-seo"><img src="https://agentmods.dev/badge/skills/gethouston/houston/investigar-mi-seo/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/gethouston/houston/investigar-mi-seo"><img src="https://agentmods.dev/badge/skills/gethouston/houston/investigar-mi-seo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00079 | $0.02539 |
| Opus 5 | $0.00039 | $0.01269 |
| Sonnet 5 | $0.00016 | $0.00508 |
| Haiku 4.5 | $0.00008 | $0.00254 |
Grade A, and why
investigar-mi-seo scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Investigar mi SEO
Una sola skill para los dos trabajos fundacionales de investigación de SEO. El parámetro focus elige si estás construyendo clusters de palabras clave o un plan de outreach de backlinks. Ambos leen primero tu posicionamiento para que cada recomendación regrese a tu cliente ideal y a tu categoría.
Parámetro: focus
keywords: agrupa términos por intención y dificultad vía Semrush/Ahrefs, marca los 3 pilares que vale la pena dominar, redacta briefs de cluster. Elkeyword-map.mdvivo agrega cada cluster nuevo. Resultado:keyword-clusters/{cluster-slug}.md+ actualizakeyword-map.md.backlinks: identifica de 15 a 30 sitios objetivo vía SERP + herramienta de backlinks, los clasifica por esfuerzo, redacta un correo de pitch personalizado para cada uno. Resultado:backlink-plans/{YYYY-MM-DD}.md.
Tú nombras el enfoque en lenguaje simple ("encuentra palabras clave para {topic}", "arma un mapa de palabras clave", "a quién le pedimos enlaces", "plan de link building") y yo lo infiero. Si es ambiguo, hago UNA pregunta nombrando ambas opciones.
Cuándo usarlo
keywords:
- Explícito: "encuentra palabras clave para {topic}", "arma un mapa de palabras clave", "qué deberíamos posicionar", "investigación de palabras clave sobre {topic}", "dame un cluster para {seed term}".
- Implícito: me llama
write-a-postcuando falta una palabra clave objetivo, ocheck-my-marketing(subject=content-gap) para dimensionar oportunidades de brecha. - Se corre muchas veces, un cluster por invocación. El
keyword-map.mdvivo agrega cada cluster nuevo.
backlinks:
- Explícito: "encuentra backlinks", "a quién le pedimos enlaces", "plan de link building", "sitios objetivo de backlinks para {topic}", "prospección de enlaces".
- Implícito: dentro de un plan de lanzamiento cuando se necesita amplificación externa.
- Cadencia semanal o por campaña.
Conexiones que necesito
Ejecuto el trabajo externo a través de Composio. Antes de correr esta skill, reviso que las categorías de abajo estén conectadas. Si falta alguna, te digo cuál es, te pido que la conectes desde la pestaña de Integraciones y me detengo.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 108 lines · 79 tokens per session scan A dcdd24e6811d
investigar-mi-seo is a skill published in the GitHub repository gethouston/houston (113 stars, last pushed today), licensed MIT. It adds 79 tokens to every session and 2,539 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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